eBooks de Programación, página 2 de 41

Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to lightbulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, youll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressifs ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductors nRF52 boards. Starting with a very little amount of theory, youll develop code right from the beginning. After youve completed this book, youll know enough to create your own BLE applications.

Introduction to PLC programming with OpenPLC, the first fully open source Programmable Logic Controller on the Raspberry Pi, and Modbus examples with Arduino Uno and ESP8286 PLC programming is very common in industry and home automation. This book describes how the Raspberry PI 4 can be used as a Programmable Logic Controller. Before taking you into the programming, the author starts with the software installation on the Raspberry PI and the PLC editor on the PC, followed by a description of the hardware. Youll then find interesting examples in the different programming languages complying with the IEC 61131-3 standard. This manual also explains in detail how to use the PLC editor and how to load and execute the programs on the Raspberry PI. All IEC languages are explained with examples, starting with LD (Ladder Diagram) over ST (Structured Control Language) to SFC (Special Function Chart). All examples can be downloaded from the authors website. Networking gets thorough attention too. The Arduino UNO and the ESP8266 are programmed as ModbusRTU or ModbusTCP modules to get access to external peripherals, reading sensors and switching electrical loads. I/O circuits complying with the 24V industry standard may also be of interest for the reader. The book ends with an overview of commands for ST and LD. After reading the book, the reader will be able to create his own controllers with the Raspberry PI.

A manual providing up-to-date hardware information for the Arduino Mega 2560.The Arduino Mega 2560 is an upgrade to the popular Arduino Uno board, providing more pins, serial ports and memory. Arduino is the easy to use open-source electronics platform used by hobbyists, makers, hackers, experimenters, educators and professionals.Get all the information that you need on the hardware and firmware found on Arduino Mega 2560 boards in this handy reference and user guide. Ideal for the workbench or desktop. This manual covers the Arduino Mega 2560 hardware and firmware, and is a companion volume to the Ultimate Arduino Uno Hardware Manual, which covers the Arduino Uno hardware and firmware.- Contains all of the Arduino Mega 2560 hardware information in one place- Covers Arduino / Genuino Mega 2560 revision 3 and earlier boards- Easily find hardware technical specifications with explanations- Pin reference chapter with interfacing examples- Diagrams and illustrations for easy reference to pin functions and hardware connections- Learn to back up and restore firmware on the board, or load new firmware- Basic fault finding and repair procedures for Arduino Mega 2560 boards- Power supply circuits simplified and explained- Mechanical dimensions split into five easy to reference diagrams- Contains circuit diagrams, parts list and board layout to easily locate components- A chapter on shield compatibility explains how shields work across different Arduino boards

Although much classical HF and mobile equipment is still in use by many amateurs, the use of computers and digital techniques has now become very popular among amateur radio operators. Nowadays, anyone can purchase a Raspberry Pi computer and run almost all amateur radio software on the RPi, which is slightly bigger than the size of a credit card.The RTL-SDR devices have become very popular among hams because of their very low cost and rich features. A basic system may consist of a USB-based RTL-SDR device (dongle) with a suitable antenna, an RPi computer, a USB-based external audio input-output adapter, and software installed on the Pi. With such a simple setup it is feasible to receive signals from around 24 MHz to over 1.7 GHz. With the addition of a low-cost upconverter device, an RTL-SDR can easily and effectively receive the HF bands.This book is aimed at amateur radio enthusiasts, electronic engineering students, and anyone interested in learning to use the Raspberry Pi to build electronic projects. The book is suitable for the full range of beginners through old hands at ham radio. Step-by-step installation of the operating system is described with many details on the commonly used Linux commands. Some knowledge of the Python programming language is required to understand and modify the projects given in the book. Example projects developed in the book include a station clock, waveform generation, transistor amplifier design, active filter design, Morse code exerciser, frequency counter, RF meter, and more. The block diagram, circuit diagram, and complete Python program listings are given for each project, including the full description of the projects.Besides wide coverage of RTL-SDR for amateur radio, the book also summarizes the installation and use instructions of the following ham radio programs and software tools you can run on your Raspberry Pi: TWCLOCK, Klog, Gpredict, FLDIGI, DIRE WOLF, xcwcp, QSSTV, LinPsk, Ham Clock, CHIRP, xastir, and CQRLOG.

This book is about teaching the Python programming language using the Raspberry Pi 4 computer. The book makes an introduction to Raspberry Pi 4 and then teaches Python with the topics: variables, strings, arrays, matrices, tuples, lists, dictionaries, user functions, flow of control, printing, keyboard input, graphics, GUI, object oriented programming and many more topics. The book is aimed for beginners, students, practising engineers, hobbyists, and for anyone else who may want to learn to program in Python. The book includes many example programs and case studies. All the example programs and case studies have been tested fully by the author and are all working. The example programs aim to teach the various programming concepts of Python. The case studies cover the use of Python in the analysis and design of electronic circuits. Some of the case study topics are: Resistor colour code identification Resistive potential divider circuits Resistive attenuator design Zener diode voltage regulator design RC and RLC transient circuits Circuit frequency response Saving data on external memory stick Mesh and node circuit analysis using matrices Resonance in RLC circuits Transistor Biasing analysis Transistor amplifier design Design of active filters Interfacing hardware with GPIO, I2C and SPI Using Wi-Fi with Python and TCP/IP and UDP programs Using Bluetooth from Python Full program listings of all the programs used in the book are available at the Elektor website of the book. Readers should be able just to copy and use these programs in their Raspberry Pi projects without any modifications.

Unleash Julias power: Code Your Data Stories, Shape Machine Intelligence!Key Features Comprehensive Learning Journey from fundamentals of Julia ML to advanced techniques. Immersive practical approach with real-world examples, exercises, and scenarios, ensuring immediate application of acquired knowledge. Delve into the unique features of Julia and unlock its true potential to excel in modern ML applications. Book Description This book takes you through a step-by-step learning journey, starting with the essentials of Julias syntax, variables, and functions. Youll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where youll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results. The handbook culminates in optimizing workflows with Julias parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning. What you will learn Master Julia ML Basics to gain a deep understanding of Julias syntax, variables, and functions. Efficient Data Handling with Julia arrays and DataFrames for streamlined and insightful analysis. Develop expertise in both basic and advanced statistical models for informed decision-making through Statistical Modeling. Achieve Machine Learning Proficiency by confidently implementing ML algorithms using MLJ.jl and MLBase.jl. Apply Bayesian Inference Skills with Turing.jl for advanced modeling techniques. Optimize workflows using Julias Parallel Processing Capabilities and Distributed Computing for efficient and scalable data processing. Table of Contents 1. Julia In Data Science Arena 2. Getting Started with Julia 3. Features Assisting Scaling ML Projects 4. Data Structures in Julia 5. Working With Datasets In Julia 6. Basics of Statistics 7. Probability Data Distributions 8. Framing Data in Julia 9. Working on Data in DataFrames 10. Visualizing Data in Julia 11. Introducing Machine Learning in Julia 12. Data and Models 13. Bayesian Statistics and Modeling 14. Parallel Computation in Julia 15. Distributed Computation in Julia Index

Many people would like to learn Java but getting started is not easy since programming with Java requires at least two things: mastering the programming language and the development environment. With the help of many examples, this book shows how the language is structured. In addition, it employs the Eclipse development environment as an example of a powerful tool to teach developing Java programs. In Basics, the first part of the book, you acquire your Java and Eclipse basic knowledge. This part lays the programming foundations, gives you an overview of Java technology, and shows you what is special about object-oriented programming. In the second part called Java Language, everything revolves around the subtleties of the Java language and this is where the first small Java applications are created, aided by a fine blend of the knowledge part and practical exercises. Java Technology is both the name and the focus of the third part which also introduces you to the rules to observe when programming, what class libraries are and what advantages they have. In addition, you will learn how to test programs, what algorithms are, and how to program them. The fourth part, Java Projects, enables you to apply all the previous elements in an application with a graphical user interface. The project shows how to develop a larger application piece by piece with the Eclipse development environment. The Appendix concludes with a section on frequent errors that can occur when working with Eclipse, and a Glossary. All sample programs discussed in the book, and bonus material, are contained in an archive file which is available free of charge from the Publishers website www.elektor.com/books. On this site, search for: Java Eclipse. The tasks and solutions mentioned in the book are at: www.programmingcourse.net/courses/java_with_eclipse/.

Las webs actuales exigen aplicaciones eficientes en tiempo real y escalabilidad. Si ya tiene conocimientos básicos sobre la creación de aplicaciones web, JavaScript y Node.js, y quiere ir más allá, ha llegado al libro indicado. Con el aprendera a crear aplicaciones rapidas y de alto rendimiento con React.Gracias a este manual se sumergira directamente en los conceptos mas importantes de React y aprendera a trabajar con las ultimas caracteristicas de ECMAScript. Asimismo, conocera los fundamentos de Redux, descubrira como implementar animaciones, aprendera a crear una API con Node.js, Firebase y GraphQL, y a mejorar el rendimiento de sus aplicaciones con Webpack 4.Ademas, encontrara ejercicios para implementar el renderizado del lado del servidor, añadir pruebas unitarias y hacer depuraciones, asi como practicas para implementar una aplicacion de React en produccion. Por ultimo, aprendera a generar aplicaciones para moviles nativas para iOS y Android desde React Native.Al finalizar el libro, reducira los errores en sus pruebas y se convertira en todo un experto en React.Contenidos del libro:o Desarrollar la capacidad de tratar temas complejos como Redux, Webpack y el renderizado del lado del servidoro Implementar una API desde Node.js, Firebase y GraphQLo Aumentar el rendimiento de las aplicaciones de Reacto Crear aplicaciones para moviles desde React Nativeo Implementar una aplicacion de React en DigitalOceano Conocer las mejores practicas para organizar y probar aplicaciones de React

Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field.The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied.In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a "talking eye" will also be created.The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information "I see a car!" is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

This practical guide is aimed at electronics students and hobbyists. It is intended to be a valuable aid in writing programs using Finite State Machines (FSMs) in assembly language using 8-bit PIC microcontrollers. The last two chapters introduce the use of the C programming language and make a direct comparison with development in Assembly. An FSM is a way of writing a program to make it easier to produce and modify. The machine is abstract in that it is just the structure of the program. This abstract machine can be represented by drawing a diagram on paper. The diagram is independent of the programming language used. The FSM chart gives a complete description of what the program does. It can then be implemented as source code. The book should appeal to those with an interest in the combination of electronics and software and have an interest in how things work. The book will describe writing code for two particular microcontrollers: The 12F1822 and 16F1823. Both are mid-range and inexpensive. To read and write the programs to and from the PICs, all that is required is an FTDI TTL level USB lead (TTL-232R-5V-WE) in addition to two programs that are both available for free download as executable files and source code from Elektor. Microsoft Windows or Linux can be used. The PIC programs are written in assembly language. This goes against the conventional wisdom of using a higher-level language such as C. One reason for this is that assembly is a good way of learning what is happening at the lowest level. This is important as microcontroller programming requires an understanding of the chip. Another reason for using the finite state machine approach is that it makes assembly programs surprisingly easy to follow. One of the main obstacles in the way of getting started with embedded programming is the installation and learning of new software tools. The emphasis of this book is on making things straightforward with as little complication as possible. Therefore you can concentrate on understanding the code. Real projects arent just about coding: our software has to do something real. As a consequence, a chapter deals with a method of circuit board construction.All coding is done in a text editor of your choosing. The command line is used for running programs. If you are a Windows user, you might look at this as old fashioned. This is actually an efficient way of doing things: simple scripts for repetitive tasks save lots of mouse clicks. The last two chapters give an introduction to programming in C using the XC8 compiler. Again this is done using a text editor and the command line.The intention has been to achieve results using an inexpensive microcontroller with simple command line tools. Much emphasis is placed on using Microchips datasheet as this is the best place to get correct detailed information

Neste livro, o aluno encontrará informações básicas sobre lógica de programação. Dividida em 10 capítulos (Lógica de programação e suas representações, Constantes e variáveis, Estruturas de controle

La capacidad de utilizar algoritmos para resolver problemas del mundo real es una habilidad imprescindible para cualquier desarrollador o programador. Este libro le ayudará no solo a desarrollar la capacidad de seleccionar y utilizar el mejor algoritmo para cada problema, sino tambien a entender como funciona.Empezara con una introduccion a los algoritmos y conocera varias tecnicas para diseñarlos, antes de aprender a implementar diferentes tipos de algoritmos, con la ayuda de ejemplos practicos. A medida que avance, aprendera sobre programacion lineal y clasificacion de paginas y graficos, y trabajara con algoritmos de aprendizaje automatico (Machine Learning) para comprender las matematicas y la logica que hay detras de ellos. Los casos practicos le mostraran como aplicar estos algoritmos de forma optima, antes de centrarse en los algoritmos de aprendizaje profundo y aprender sobre los distintos tipos de modelos de aprendizaje profundo (Deep Learning) y su uso practico.Tambien conocera los modelos secuenciales modernos y sus variantes, algoritmos, metodologias y arquitecturas que se utilizan para implementar grandes modelos linguisticos (LLM) como ChatGPT.Por ultimo, tendra un primer contacto con las tecnicas que permiten el procesamiento paralelo, lo que le permitira utilizar estos algoritmos para tareas de calculo intensivo.Cuando acabe este libro, se habra convertido en un experto en la resolucion de problemas informaticos del mundo real utilizando para ello una amplia gama de algoritmos.Con este libro aprendera a:- Diseñar algoritmos para resolver problemas complejos- Identificar las redes neuronales y las tecnicas del aprendizaje profundo- Explorar estructuras de datos existentes y algoritmos incluidos en las bibliotecas de Python- Implementar algoritmos de grafos para la deteccion del fraude mediante el analisis de redes- Profundizar en algoritmos mas avanzados para el procesamiento eficaz del lenguaje natural utilizando ejemplos reales- Crear un motor de recomendacion que sugiera peliculas interesantes a los suscriptores- Comprender los conceptos de los modelos secuenciales de aprendizaje automatico y su papel fundamental en el desarrollo de LLM de vanguardia

Descubra el mundo de Rust, el revolucionario lenguaje de programación de sistemas de código abierto que combina eficiencia con ergonomía. Le permitirá mejorar la productividad y evitar las molestias asociadas con los lenguajes de bajo nivel.Lenguaje de programacion Rust es su guia definitiva para navegar por las caracteristicas y capacidades unicas de Rust 2021. Escrito por Klabnik y Nichols, antiguos miembros del Rust Core Team, este libro le llevara desde los conceptos mas basicos hasta las tecnicas avanzada y le permitira escribir software mas rapido y confiable."Aprendera las innovadoras caracteristicas de Rust, como la propiedad, el prestamo, los tiempos de vida, los genericos, los traits y los objetos trait para comunicar las restricciones de su programa al compilador."Conocera los punteros inteligentes y multihilo, y como la propiedad interactua con ellos para permitir una concurrencia segura."Asimilara como utilizar Cargo, el gestor de paquetes integrado en Rust, para compilar, documentar el codigo y gestionar las dependencias."Interiorizara las mejores maneras para probar, gestionar errores, refactorizar y aprovechar la concordancia expresiva de patrones.Ademas de los innumerables ejemplos de codigo, encontrara tres capitulos dedicados a la elaboracion de proyectos completos: un juego numerico de adivinanzas, la implementacion en Rust de una herramienta de linea de comandos y un servidor multihilo.Este libro es esencial para todo desarrollador, tanto si esta buscando iniciar su viaje en Rust como si busca perfeccionar sus habilidades. ¡Embarquese en este viaje y domine Rust!SOBRE LOS AUTORESSteve Klabnik fue jefe del equipo de documentacion de Rust y uno de sus principales desarrolladores. Klabnik es un conferenciante habitual y un prolifico colaborador de codigo abierto.Carol Nichols es miembro del equipo de Rust Crates.io y antigua miembro del Rust Core Team. Nichols es cofundadora de Integer 32, la primera consultoria de software del mundo centrada en Rust, y tambien ha organizado la Rust Belt Rust Conference.

¿Cuáles son los principios subyacentes a toda herramienta en programación? Si quiere conocer los ocho principios, técnicos y conductuales, que dan respuesta a esta pregunta, ha llegado al libro indicado. En una epoca donde cada dia surgen nuevas tecnologias, el beneficio de conocer conceptos transversales a todas ellas no solo es imprescindible, sino tambien necesario. Ademas, con la llegada de sofisticadas aplicaciones de inteligencia artificial, la pregunta ya no reside en que herramienta aprender, sino en que tienen en comun para poder integrarlas.Gracias a la lectura de este libro, descubrira los cinco tomos que lo componen y que dan soporte a la nueva forma de entender la programacion."Tomo I: Aprendera los fundamentos basicos de las matematicas y de la programacion."Tomo II: Conocera los principios de programacion."Tomo III: Dispondra de una introduccion historica y practica a los diversos sistemas de la computacion, como los lenguajes de programacion, los sistemas operativos, las bases de datos, los sistemas distribuidos y la inteligencia artificial."Tomo IV: Analizara el dialogo que presenta los desafios de la ingenieria de software."Tomo V: Disfrutara de reflexiones y consejos para crecer como profesional.No pierda la oportunidad de iniciar el camino que le propone este libro, que va desde la historia de este campo del conocimiento hasta la programacion en si misma. Le suscitara nuevas ideas que impulsaran su carrera como programador.Camilo Chacon Sartori es doctorante en el Instituto de Investigacion en Inteligencia Artificial (IIIA-CSIC) y en la Universidad Autonoma de Barcelona. Obtuvo su grado y master en ingenieria en informatica con distincion maxima. Ha publicado dos libros: Computacion y programacion funcional y Mentes geniales. La vida y obra de 12 grandes informaticos, ambos con la editorial Marcombo. Su principal proyecto, "Habia una vez un algoritmo", es un podcast y un newsletter donde reflexiona sobre temas tecnicos, cientificos y filosoficos concernientes a la informatica.

La ingeniería de datos ha crecido rápidamente en la última década. Esto ha ocasionado que muchos ingenieros de software, científicos de datos y analistas se hayan quedado estancados y busquen conseguir una vision completa de esta materia. Si quiere estar a la ultima y desea aprender a planificar y desarrollar sistemas para satisfacer las necesidades de su organizacion y las de sus clientes, este es el libro indicado. En el se explica como evaluar las mejores tecnologias disponibles a traves del ciclo de vida del framework de la ingenieria de datos.Los autores Joe Reis y Matt Housley detallan, en este libro, el ciclo de vida de la ingenieria de datos y muestran como unir una variedad de tecnologias en la nube para satisfacer las necesidades de los procesos consumidores de datos que se encuentran en las fases posteriores al ciclo de vida de la ingenieria de datos. Gracias a esta lectura, entendera como aplicar los conceptos de generacion de datos, ingestion, orquestacion, transformacion, almacenamiento y gobernanza, que son criticos en cualquier entorno de datos, independientemente de la tecnologia subyacente. Asimismo, con este libro:"Obtendra una vision concisa de todo el panorama de la ingenieria de datos "Evaluara los problemas de ingenieria de datos mediante el uso integral de las mejores practicas"Sabra elegir el conjunto mas adecuado de tecnologias, arquitecturas y procesos de datos"Utilizara el ciclo de vida de la ingenieria de datos para diseñar y desarrollar una arquitectura solida"Incorporara la gobernanza y la seguridad de los datos en todo el ciclo de vida de la ingenieria de datosJoe Reis es un "cientifico en recuperacion de datos", ingeniero y arquitecto de datos.Matt Housley es consultor de ingenieria de datos y especialista en la nube."Desde hace tiempo, el mundo de los datos se encuentra en permanente evolucion. Primero fueron los diseñadores. Despues, los administradores de bases de datos. Luego, los CIO. A continuacion, los arquitectos de datos. Este libro señala el siguiente paso en la evolucion y madurez del sector. Es una lectura obligada para cualquiera que sea honesto con su profesion y su carrera"-Bill InmonCreador del data warehouse"Fundamentos de la ingenieria de datos es una gran introduccion a las actividades de mover, procesar y manejar datos. Explica la taxonomia de los conceptos de datos, sin centrarse demasiado en herramientas o en proveedores individuales, por lo que las tecnicas e ideas deberian perdurar mas que cualquier tendencia o producto individual. Lo recomiendo con vehemencia a cualquiera que quiera ponerse al dia en ingenieria de datos o en analitica, o a los profesionales de hoy que quieran cubrir las lagunas que tengan en cuanto a su comprension" -Jordan Tiganifundador y CEO de MotherDuck, e ingeniero fundador y Cocreador de BigQuery

Si desea adentrarse en el mundo de la programación desde cero y avanzar progresivamente hasta cubrir los aspectos más complejos de la programación en C++, mediante el análisis y desarrollo de gran cantidad de problemas algoritmicos de todos los niveles, este libro sera su gran aliado.Curso de algoritmos y programacion a fondo presenta 16 lecciones, distribuidas en 6 capitulos, para estudiar los recursos y las tecnicas de programacion que le llevaran a tratar cuestiones avanzadas, como el desarrollo de un programa compresor/descompresor de archivos basado en el algoritmo de Huffman. Ademas, este libro desarrolla funciones y tipos abstractos de datos (TAD) para conformar una biblioteca (API) que podra utilizar en la resolucion de una gran cantidad de ejercicios y problemas. Asimismo, gracias a esta lectura: "Aprendera a programar agilmente con los videos explicativos del autor que acompañan cada leccion."Podra validar los conocimientos adquiridos con las autoevaluaciones que se proponen y recibira el feedback con el que determinara si debe releer la leccion o parte de esta, antes de pasar a la siguiente.En esta nueva edicion se profundiza especialmente en el analisis y la resolucion de problemas. Se propone un caso testigo y diversas variantes de este, que le permitiran identificar distintos tipos de problemas que estudiar y discutir estrategias de solucion.Sin duda, esta es una obra imprescindible si desea ser un futuro programador o busca afianzar y profundizar sus conocimientos en la materia.

En el mundo actual resulta casi impensable vivir al margen de Internet. Desde una simple búsqueda, pasando por la consulta de las últimas novedades en redes sociales, hasta la realización de gestiones o compras online, siempre hay algun motivo para conectarse. En la mayoria de estos casos, lo que esta haciendo es realizar una peticion a un servidor que devuelve como resultado una pagina web con la informacion solicitada. Quizas piense que el desarrollo de estas paginas sea algo complejo, solo al alcance de especialistas con conocimientos de programacion. Pero nada mas lejos de la realidad, porque para crear paginas web no es necesario ser un experto en este campo. Unicamente debera saber lo imprescindible de HTML y CSS. En este libro aprendera a desarrollar sus propias paginas web sin conocimientos previos, desde como estructurar la informacion con HTML hasta como darle el aspecto deseado con CSS. Incluso tendra ocasion de utilizar un servicio de hosting web que le permitira acceder a ellas desde cualquier dispositivo en cualquier lugar.Si ya tiene conocimientos basicos de ambos lenguajes, este libro tambien le sera de gran ayuda, ya que no se centra en la descripcion de un conjunto de etiquetas HTML y propiedades CSS, sino en la manera de organizar en pantalla los elementos de una pagina segun el diseño grafico establecido. Por ese motivo, se hace un enfasis especial en los diversos modos de presentacion, en los distintos tipos de posicionamiento y en la distribucion de los espacios que componen las diferentes secciones de una pagina.Por ultimo, se hace particular hincapie en la adaptacion de contenidos a todo tipo de dispositivos, imprescindible si quiere que una misma pagina se vea correctamente en la pantalla de un ordenador, una tableta o un telefono movil.Ademas del capitulo exclusivo de practicas que se presenta en el libro, todos los conceptos se describen con ejemplos explicados linea a linea, lo que hara que experimente el efecto de las tecnicas aplicadas en cada uno de ellos.Tomas Dominguez es ingeniero de telecomunicacion y doctorado en inteligencia artificial. Su labor profesional se ha desarrollado en una multinacional de telecomunicaciones, donde ha ocupado diversos cargos relacionados con la tecnologia. Asimismo, ha ejercido como profesor universitario de ingenieria informatica en la Universidad Alfonso X el Sabio de Madrid.

Unleash the Power of Node.js for Building Enterprise-Grade, Scalable Server-Side Applications.Key Features Master the essentials of building real-time applications with a focus on Node.js, Express.js, Mongoose, Socket.IO, Winston logging, and key middleware. Learn to create lightweight and scalable backend servers, ensuring optimal performance for production-ready applications. Stay ahead of the curve by gaining proficiency in Node.js, positioning yourself for success in a rapidly evolving technological landscape. Quick path to Node.js expertise, providing practical examples and insights to prepare you for the current and future demands of the tech landscape. Book Description Unlock the full potential of Node.js for modern web development with this comprehensive handbook to developing applications and services. The book will cover the fundamentals to advanced techniques, and explore the intricacies of building powerful applications. You will master Express server creation, develop RESTful APIs with efficient routing, and dive into MongoDB for seamless data persistence. It will uncover the nuances of template engines, middleware, and robust authentication methods. Leverage Socket.IO for real-time capabilities and adeptly handle errors with effective logging. The projects will double as versatile boilerplates for kickstarting your own development endeavors. In the later chapter, you will learn Test-Driven Development with Mocha, gain insights into debugging, and perfect the art of building and deploying Node.js applications. Each example in the book adheres to common best practices, providing valuable insights to help you avoid common pitfalls. Designed as both a learning resource and a reference guide, this book equips you with the knowledge to tackle challenging problems at any stage of development. What you will learn Develop a robust Express server to streamline your development process. Delve deep into creating RESTful APIs with efficient routing techniques. Master the utilization of template engines to elevate your project sophistication. Enhance your applications by incorporating middleware for extended capabilities. Harness the power of Socket.IO to add dynamism and interactivity to your projects. Implement Test-Driven Development (TDD) using Mocha to ensure code reliability. Grasp the intricacies of constructing and deploying Node.js applications effectively. Explore the evolving landscape of Node.js, staying at the forefront of emerging web development trends. Table of Contents 1. Getting Started with Node.js 2. Deep Dive into Node.js 3. Introducing Express.js 4. Creating REST API and Routing 5. Working with MongoDB 6. Data Persistence 7. Template Engines 8. Middleware Functions 9. Authentication and Authorization 10. Socket.IO 11. Handling and Logging Errors 12. TDD with Mocha and Chai 13. Debugging 14. Build and Deployments 15. Future Scope Index

Craft Scalable and Dynamic Web Apps using Django and PythonKey Features Real-World Practices and Solutions for Crafting Dynamic and Scalable Django Solutions. Build a Comprehensive Task Management System Hands-On. Explore Advanced API, Testing, and Deployment Techniques with Real-World Applications. Book Description This comprehensive guide is an indispensable resource for developers seeking to elevate their web development skills in Django and Python. The book begins by establishing a strong foundation and understanding of Djangos architecture, emphasizing the Model-View-Template (MVT) pattern and a pivotal service layer for creating scalable web applications. The book then progresses to practical aspects, guiding readers through the development of a Task Management App. This hands-on approach reinforces fundamental concepts and showcases Djangos flexibility and efficiency in real-world scenarios. The advanced sections of the book will help you tackle complex challenges, covering topics like preventing double-form submissions, implementing offline pessimistic and optimistic locking techniques, mastering API development with Django Ninja, and ensuring application reliability through exhaustive testing with pytest. The book culminates in practical insights for deploying Django applications with Docker and Kubernetes, this guide equips you to tackle real-world challenges effectively. What you will learn Unlock the potential of Django 4.2 and Python for robust web development expertise. Seamlessly build and deploy a complete Django project, implementing essential features like authentication, authorization, and multi-tenant capabilities. Develop and secure APIs with Django Ninja, following best practices for a streamlined process. Gain mastery in testing with pytest, ensuring the creation of reliable, bug-free Django applications. Elevate your skills and create web solutions with confidence using the latest tools and techniques in Django development. Table of Contents 1. Introduction to Django and Python 2. Setting Up Your Development Environment 3. Getting Started with Django Projects and Apps 4. Django Models and PostgreSQL 5. Django Views and URL Handling 6. Using the Django Template Engine 7. Forms in Django 8. User Authentication and Authorization in Django 9. Django Ninja and APIs 10. Testing with pytest 11. Deploying Django Applications with Gunicorn and Docker 12. Final Thoughts and Future Directions Index

Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-MakingKey Features Comprehensive Resource for Python-Based Time Series Analysis and Forecasting. Delve into real-world applications with industry-specific case studies. Extract valuable insights by solving time series challenges across various sectors. Understand the significance of Azure Time Series Insights and AWS Forecast components. Practical insights into leveraging cloud platforms for efficient time series forecasting. Book Description Embark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Pythons prowess for efficient time series data analysis, exploring the core components and real-world applications across various industries through compelling use-case studies. From understanding classical models like AR, MA, ARMA, and ARIMA to exploring advanced techniques such as exponential smoothing and ETS methods, this guide ensures a deep understanding of the subject. It will help you navigate the complexities of vector autoregression (VAR, VMA, VARMA) and elevate your skills with a deep dive into deep learning techniques for time series analysis. By the end of this book, you will be able to harness the capabilities of Azure Time Series Insights and explore the cutting-edge AWS Forecast components, unlocking the clouds power for advanced and scalable time series forecasting. What you will learn Explore Time Series Data Analysis and Forecasting, covering components and significance. Gain a practical understanding through hands-on examples and real-world case studies. Master Time Series Models (AR, MA, ARMA, ARIMA, VAR, VMA, VARMA) with executable samples. Delve into Deep Learning for Time Series Analysis, demystified with classical examples. Actively engage with Azure Time Series Insights and AWS Forecast components for a contemporary perspective. Table of Contents 1. Introduction to Python and its key packages for DS and ML Projects 2. Python for Time Series Data Analysis 3. Time Series Analysis and its Components 4. Time Series Analysis and Forecasting Opportunities in Various Industries 5. Exploring various aspects of Time Series Analysis and Forecasting 6. Exploring Time Series Models - AR, MA, ARMA, and ARIMA 7. Understanding Exponential Smoothing and ETS Methods in TSA 8. Exploring Vector Autoregression and its Subsets (VAR, VMA, and VARMA) 9. Deep Learning for Time Series Analysis and Forecasting 10. Azure Time Series Insights 11. AWS Forecast Index